✈️ AI & ML Course

AI & ML

AI & ML Practitioner Training - Empowering the Next Generation of AI Engineers.

4.9 (50 reviews)

150+ enrolled

3 months

AI & <span class='text-yellow-400'>ML</span>

What You'll Learn

Python foundations.

AI & ML model building and packaging.

Deployment with Kubeflow, MLflow, SageMaker.

CI/CD, Git, monitoring with Prometheus + Grafana.

Kubeflow for pipeline orchestration, scalability, automation, efficiency.

Real-world ML projects (loan, sales, CI/CD, monitoring, deployment, optimization).

MLflow for model tracking and lifecycle management.

Amazon SageMaker for cloud-native model deployment.

Course Benefits

Industry Certification

Get certified upon completion

Expert Mentorship

Learn from industry professionals

Lifetime Access

Access materials anytime

100% Placement

Guaranteed job assistance

Hands-on Projects

Apply concepts with real-world practice

Career Guidance

Get expert support for your career growth

Course Information

Duration3 months

ModeOnline

LevelBeginner to Advanced

Upcoming Batches

Next Batch

Frequency: Every Two Months

Mode: Online

Eligible Learners

Learners: IT-Professionals

Qualification: IT-Professionals

🎓 Success Stories

From Professionals to AI Leaders

Hear from our successful graduates who transformed their careers with Flair Tech AI & ML Practitioner Training program

"As a DevOps professional, I wanted to upskill in MLOps. The modules on CI/CD pipelines, SageMaker, and monitoring with Prometheus + Grafana were exactly what I needed. The instructors were very supportive, and the capstone projects gave me real deployment experience. Flair Technologies truly bridges the gap between IT and AI/ML."

Sandeep Verma

DevOps Specialist

"Before joining Flair Technologies, I worked as a data analyst in IT. I knew Python and Pandas but lacked exposure to full ML model deployment. This training not only strengthened my coding skills but also taught me how to build, package, and monitor models in production. Thanks to this course, I’ve transitioned into an AI Engineer role."

Ananya Reddy

Data Analyst

"Coming from a development background, I always struggled to connect coding with real-world AI/ML workflows. Flair Technologies’ AMPT program made it crystal clear. The hands-on projects with FastAPI, MLflow, and Kubernetes gave me the confidence to deploy models at scale. Today, I’m leading ML integration in my automation projects."